Table 2 Performance (measured in terms of accuracy) provided by the different VGG variants along with their number of parameters on the SARS-COV-2 dataset.

From: Fuzzy rank-based fusion of CNN models using Gompertz function for screening COVID-19 CT-scans

Model

Accuracy (%)

Number of Parameters (in millions)

VGG-11

96.38

132.86

VGG-13

96.51

133.05

VGG-16

96.78

138.42

VGG-19

95.17

143.67